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This document details how to use the ECEN Olympus cluster to remotely access software used in the ECEN Zachry Linux labs.

What is the Cluster

The Olympus cluster consists of the login node (olympus.ece.tamu.edu), six non-GPU compute nodes and three GPU compute nodes.    The cluster has software that ensures users receive the resources needed for their labs by distributing users across the compute nodes based on their course requirements.

How to use the cluster

  1. On windows systems, install MobaXTerm personal edition.  On Macintosh install the XQuartz software.  Putty and XMing are also an available option for Windows users.

  2. Open MobaXTerm on windows or the terminal program on Mac

  3. ssh to olympus.ece.tamu.edu, i.e.  ssh -Y netid@olympus.ece.tamu.edu (ensure to replace netid with your NetID)

  4. Login using your NetID password

  5. Next, you will need to connect to an available compute node.  Enter the proper load-ecen-### command at the prompt and hit return. The command that you will run depends on which course you are taking. The following are valid commands:

    1. load-ecen-248

    2. load-ecen-350

    3. load-ecen-403

    4. load-ecen-403-img

    5. load-ecen-425

    6. load-ecen-449

    7. load-ecen-454

    8. load-ecen-468

    9. load-ecen-474

    10. load-ecen-475

    11. load-ecen-651

    12. load-ecen-655

    13. load-ecen-676

    14. load-ecen-704

    15. load-ecen-714

    16. load-ecen-749

  6. Source the same file that you use in the Zachry Linux Labs.

Cluster Usage Limitations

To assure resources are available to all students, the following limitations are enforced.

  1. Each user is allowed two simultaneous interactive sessions on the non-GPU compute nodes.  In other words, you can log in to Olympus using ssh with two different sessions and run the proper load-ecen-### command in each ssh session. 

  2. Each interactive session is limited to a maximum of 12 hours.

Instructions for Using Singularity Containers on Olympus

See Singularity Containers on Olympus GPU Nodes for instructions.

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